ITSADIVE - Hybrid Structural Model for HRTF individualization v1.0

This repository includes the code for a hybrid structural HRTF model combining measured, synthesised, and selected components. In particular, its three components are:

• A generic head-and-torso component, taken from the "pinna-less" KEMAR set included in the Viking HRTF dataset v2 with ITD removed (measured component);
• A fully customized pinna component, built using features related to the shape of the user’s pinnae through deep learning (synthesized component);
• The best-match ITD from an available HRTF dataset obtained by regression on anthropometric parameters of the head and torso (selected component).

The model, implemented in MATLAB/Python, directly outputs a SOFA file.

If you use this code in a scientific publication, please reference the following works:

@inproceedings{micciniHybridApproachStructural2021,
	title = {A hybrid approach to structural modeling of individualized {HRTFs}},
	booktitle = {2021 {IEEE} {Conference} on {Virtual} {Reality} and {3D} {User} {Interfaces} {Abstracts} and {Workshops} ({VRW} 2021)},
	author = {Miccini, R. and Spagnol, S.},
	month = mar,
	year = {2021}
}

@misc{spagnolVikingHRTFDataset2020,
	title = {The {Viking} {HRTF} dataset v2},
	url = {https://zenodo.org/record/4160401},
	publisher = {Zenodo},
	author = {Spagnol, Simone and Miccini, Riccardo and Unnthorsson, Runar},
	month = oct,
	year = {2020},
	doi = {10.5281/zenodo.4160401},
	note = {type: dataset},
}